Artificial intelligence in cancer diagnosis and prognosis. Brain and prostate cancer / Volume 3, ([2022])
- Record Type:
- Book
- Title:
- Artificial intelligence in cancer diagnosis and prognosis. Brain and prostate cancer / Volume 3, ([2022])
- Main Title:
- Artificial intelligence in cancer diagnosis and prognosis.
- Other Titles:
- Brain and prostate cancer
- Further Information:
- Note: Edited by Ayman El-Baz, Jasjit S. Suri.
- Editors:
- El-Baz, Ayman S
Suri, Jasjit S - Other Names:
- Institute of Physics (Great Britain), publisher.
- Contents:
- 1. Artificial intelligence in prostate cancer treatment with image-guided radiation therapy / Yading Yuan, Ren-Dih Sheu, Tzu-Chi Tseng, James Tam, Yeh-Chi Lo and Richard Stock -- 2. Artificial-intelligence-based diagnosis of brain tumor diseases / Samir Kumar Bandyopadhyay, Vishal Goyal and Shawni Dutta -- 3. Multisite brain tumor segmentation using a unified generative adversarial network / Jia Wei, Zecheng Liu, Wenguang Yuan and Rui Li -- 4. Role of artificial intelligence in automatic segmentation of brain metastases for radiotherapy / Prabhakar Ramachandran, Venkatakrishnan Seshadri, Ben Perrett, Akash Mehta, Davide Fontanarosa, Mark Pinkham and Matthew Foote -- 5. Applications of artificial intelligence in the fields of brain and prostate cancer / Ayturk Keles and Ali Keles -- 6. AI-based non-deep learning and deep learning techniques used to accurately predict prostate cancer / Lal Hussain and Adeel Ahmed Abbasi -- 7. Intelligent brain tumor classification using deep convolutional neural networks with transfer learning / Chung-Ming Lo and Cheng-Yeh Hsieh -- 8. Big data applications in radiation oncology : challenges and opportunities / William C. Sleeman IV, Sriram Srinivasan, Preetam Ghosh, Jatinder Palta and Rishabh Kapoor -- 9. A hybrid approach to the hyperspectral classification of in vivo brain tissue : linear unmixing with spatial coherence and machine learning / Ines A. Cruz-Guerrero, Daniel U. Campos-Delgado, Aldo R. Mejia-Rodriguez, Himar Fabelo, Samuel1. Artificial intelligence in prostate cancer treatment with image-guided radiation therapy / Yading Yuan, Ren-Dih Sheu, Tzu-Chi Tseng, James Tam, Yeh-Chi Lo and Richard Stock -- 2. Artificial-intelligence-based diagnosis of brain tumor diseases / Samir Kumar Bandyopadhyay, Vishal Goyal and Shawni Dutta -- 3. Multisite brain tumor segmentation using a unified generative adversarial network / Jia Wei, Zecheng Liu, Wenguang Yuan and Rui Li -- 4. Role of artificial intelligence in automatic segmentation of brain metastases for radiotherapy / Prabhakar Ramachandran, Venkatakrishnan Seshadri, Ben Perrett, Akash Mehta, Davide Fontanarosa, Mark Pinkham and Matthew Foote -- 5. Applications of artificial intelligence in the fields of brain and prostate cancer / Ayturk Keles and Ali Keles -- 6. AI-based non-deep learning and deep learning techniques used to accurately predict prostate cancer / Lal Hussain and Adeel Ahmed Abbasi -- 7. Intelligent brain tumor classification using deep convolutional neural networks with transfer learning / Chung-Ming Lo and Cheng-Yeh Hsieh -- 8. Big data applications in radiation oncology : challenges and opportunities / William C. Sleeman IV, Sriram Srinivasan, Preetam Ghosh, Jatinder Palta and Rishabh Kapoor -- 9. A hybrid approach to the hyperspectral classification of in vivo brain tissue : linear unmixing with spatial coherence and machine learning / Ines A. Cruz-Guerrero, Daniel U. Campos-Delgado, Aldo R. Mejia-Rodriguez, Himar Fabelo, Samuel Ortega and Gustavo M. Callico -- 10. Application and post-hoc explainability of deep convolutional neural networks for bone cancer metastasis classification in prostate patients / Serafeim Moustakidis, Charis Ntakolia, Dimitrios E. Diamantis, Nikolaos Papandrianos and Elpiniki I. Papageorgiou -- 11. Prostate cancer detection using histopathology image analysis / Sarah M. Ayyad, Mohamed Shehata, Ahmed Shalaby, Mohamed Abou El-Ghar, Mohammed Ghazal, Moumen El-Melegy, Ali Mahmoud, Nahla B. Abdel-Hamid, Labib M. Labib, H. Arafat Ali and Ayman El-Baz -- 12. Machine learning of gliomas in 3D dynamic contrast enhanced MRI : automatic segmentation and classification / Jiwoong Jason Jeong, Yang Lei, Zhen Tian, Hui Mao, Tian Liu and Xiaofeng Yang. … (more)
- Issue Display:
- Volume 3
- Volume:
- 3
- Issue Sort Value:
- 0000-0003-0000-0000
- Publisher Details:
- Bristol [England] (No.2 The Distillery, Glassfields, Avon Street, Bristol, BS2 0GR, UK) : IOP Publishing
- Publication Date:
- 2022
- Extent:
- 1 online resource, illustrations (some color)
- Subjects:
- 616.99/4
Cancer -- Diagnosis -- Data processing
Cancer -- Treatment -- Data processing
Brain -- Cancer -- Diagnosis -- Data processing
Brain -- Cancer -- Treatment -- Data processing
Prostate -- Cancer -- Diagnosis -- Data processing
Prostate -- Cancer -- Treatment -- Data processing
Artificial intelligence -- Medical applications
Neoplasms -- diagnosis
Neoplasms -- therapy
Brain Neoplasms -- diagnosis
Brain Neoplasms -- therapy
Prostatic Neoplasms -- diagnosis
Prostatic Neoplasms -- therapy
Artificial Intelligence
Technology, engineering, agriculture
Biomedical engineering
Artificial intelligence -- Medical applications
Cancer -- Diagnosis -- Data processing
Cancer -- Treatment -- Data processing - Languages:
- English
- ISBNs:
- 9780750336031
9780750336024
0750336021 - Related ISBNs:
- 075033603X
9780750336017
9780750336048 - Notes:
- Note: Includes bibliographical references.
Note: Title from PDF title page (viewed on November 9, 2022). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.730502
- Ingest File:
- 14_058.xml